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Filtering and Deconvolution

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Periodic Systems

Part of the book series: Communications and Control Engineering ((CCE))

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Abstract

Estimating a remote signal from the measurements of another observed signal is a classical problem of today. Among the possible facets the problem can take, we will assume herein that the two signals are related each other by a dynamical system in state–space form. To be precise assume that the observed signal y(·) and the remote signal z(·) obey the following equations:

x(t +1) = A(t)x(t)+B(t)w(t)

y(t) = C(t)x(t)+D(t)w(t)

z(t) = E(t)x(t)+N(t)w(t),

where w(·) is a disturbance.

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© 2009 Springer London

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(2009). Filtering and Deconvolution. In: Periodic Systems. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-911-0_12

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  • DOI: https://doi.org/10.1007/978-1-84800-911-0_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-910-3

  • Online ISBN: 978-1-84800-911-0

  • eBook Packages: EngineeringEngineering (R0)

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